Mary Peltola US Inactive
Mary Peltola for Congress
Ad copy
Our union port workers are critical in ensuring that all Alaskans get the supplies they need - that's why I support them. Want to learn more? Visit my website! ⬇️
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 51.4/100 |
| Spend / Reach / Long. / Eff. | 38.3 · 88.7 · 6.3 · 72.3 |
| Spend range | USD 1,500–1,999 |
| Impressions | 300,000 – 349,999 |
| CPM (≈ $/1k impr) | USD 5.38 |
| Est. audience size | 500,001 – 1,000,000 |
| Days live | 24 (2022-10-16 → 2022-11-09) |
| Created | 2022-10-14 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AK — Mary Peltola |
| Surfaced by | “senate:Mary Peltola” |
🧠 AI analysis
| Issue | jobs labor |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | empathy |
| Production tier | semi pro |
| Who pictured | candidate, workers labor |
| Symbols | factory industry |
| Call to action | learn more |
| Standout element | candidate filmed outdoors at a working port with shipping containers in background, grounding her in the labor setting she champions |
| Tactic | The ad uses an authentic on-location video at a port to build credibility with union and working-class voters by physically placing the candidate in the environment she advocates for, reinforcing her pro-labor message visually and verbally. |
Where it ran (delivery by region)
| Alaska | 99.6% |
| Washington | 0.1% |
| Oregon | 0.0% |
| Arizona | 0.0% |
| Florida | 0.0% |
| California | 0.0% |
| Calabarzon | 0.0% |
Who saw it (delivery)
| 13-17 · male | 0.0% |
| 45-54 · female | 7.2% |
| 65+ · unknown | 0.1% |
| 45-54 · unknown | 0.2% |
| 25-34 · unknown | 0.3% |
| 18-24 · unknown | 0.1% |
| 35-44 · unknown | 0.3% |
| 18-24 · male | 3.0% |
| 65+ · male | 3.1% |
| 65+ · female | 3.1% |
| 55-64 · unknown | 0.1% |
| 45-54 · male | 9.2% |
| 35-44 · male | 16.6% |
| 18-24 · female | 3.4% |
| 55-64 · female | 4.9% |
| 55-64 · male | 5.3% |
| 25-34 · female | 14.5% |
| 35-44 · female | 13.7% |
| 25-34 · male | 15.1% |
| 13-17 · female | 0.0% |
